Tobey H. Ko

According to our database, Tobey H. Ko authored at least 13 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.

Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen

Medical Image Anal., 2021

2020

Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant Embedding.

Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu

IEEE Trans. Cybern., 2020

Contextual Correlation Preserving Multiview Featured Graph Clustering.

Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong

IEEE Trans. Cybern., 2020

2018

Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery.

Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Who is the Mr. Right for Your Brand?: - Discovering Brand Key Assets via Multi-modal Asset-aware Projection.

Yang Liu, Tobey H. Ko, Zhonglei Gu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning Perceptual Embeddings with Two Related Tasks for Joint Predictions of Media Interestingness and Emotions.

Yang Liu, Zhonglei Gu, Tobey H. Ko, Kien A. Hua

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Analyzing Human Behavior in Subspace: Dimensionality Reduction + Classification.

Yang Liu, Zhonglei Gu, Tobey H. Ko

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Learning Memorability Preserving Subspace for Predicting Media Memorability.

Yang Liu, Zhonglei Gu, Tobey H. Ko

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Weighted Discriminant Embedding: Discriminant Subspace Learning for Imbalanced Medical Data Classification.

Tobey H. Ko, Zhonglei Gu, Yang Liu

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Towards Learning Emotional Subspace.

Tobey H. Ko, Zhonglei Gu, Tiantian He, Yang Liu

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

2017

Brand key asset discovery via cluster-wise biased discriminant projection.

Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu

Proceedings of the International Conference on Web Intelligence, 2017

HKBU at MediaEval 2017 - Emotional Impact of Movies Task.

Yang Liu, Zhonglei Gu, Tobey H. Ko

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Predicting Media Interestingness via Biased Discriminant Embedding and Supervised Manifold Regression.

Yang Liu, Zhonglei Gu, Tobey H. Ko

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017